Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method for performing, by a user equipment (UE), a redistribution procedure in a wireless communication system, the method comprising: receiving redistribution factors from a network; determining at least one valid redistribution factor among the redistribution factors; obtaining at least one redistribution range, by dividing the at least one valid redistribution factor by a sum of the at least one valid redistribution factor; and performing the redistribution procedure, based on the at least one redistribution range, wherein the at least one valid redistribution factor is a redistribution probability value of a frequency or a cell valid for the UE.
2. The method of claim 1 , wherein the redistribution factors are received via a system information block (SIB).
3. The method of claim 1 , further comprising: receiving, by the UE, a frequency list from the network.
4. The method of claim 3 , wherein the frequency list is received via an SIB.
5. The method of claim 3 , wherein the redistribution range is obtained when a frequency valid for the UE is different from a frequency included in the frequency list.
6. The method of claim 1 , wherein the UE is in an RRC_IDLE mode.
7. The method of claim 1 , wherein the redistribution range is obtained based on the following equation: Redistribution range [ i ] = Valid redistribution factor [ i ] ∑ j = 0 j = Total number of frequencies with valid redistribution factor - 1 Valid redistribution factor [ j ] .
This invention relates to wireless communication systems, specifically methods for redistributing frequency resources to optimize signal transmission. The problem addressed is the efficient allocation of frequencies in a network to improve communication quality and reduce interference. The method calculates a redistribution range for each frequency based on a valid redistribution factor, which is a measure of the suitability of a frequency for redistribution. The redistribution range for a given frequency is determined by dividing the valid redistribution factor of that frequency by the sum of all valid redistribution factors for all frequencies, minus one. This calculation ensures that frequencies with higher suitability are allocated more resources, while those with lower suitability receive fewer. The method dynamically adjusts frequency allocation to adapt to changing network conditions, such as interference or user demand, thereby enhancing overall system performance. The redistribution process is applied across multiple frequencies to balance resource distribution and minimize conflicts. The invention aims to improve spectral efficiency and reliability in wireless networks by intelligently redistributing frequencies based on their measured suitability.
8. The method of claim 7 , wherein the redistribution factors are a redistribution probability value per frequency for load balancing.
9. The method of claim 8 , wherein the redistribution procedure is performed on frequencies valid for the UE.
10. The method of claim 1 , wherein the redistribution range is obtained based on the following equation: Redistribution range [ i ] = Valid redistribution factor [ i ] ∑ j = 0 j = Total number of cells with valid redistribution factor - 1 Valid redistribution factor [ j ] .
This invention relates to a method for determining a redistribution range in a system where data or resources are dynamically allocated across multiple cells or units. The problem addressed is the need for an efficient and fair distribution mechanism that accounts for varying validity or suitability of redistribution factors across different cells. The method calculates a redistribution range for each cell based on a mathematical equation that normalizes valid redistribution factors relative to the total number of cells with valid factors. The redistribution range for a given cell is derived by dividing its valid redistribution factor by the sum of all valid redistribution factors across all cells, minus one. This ensures that the redistribution is proportional to the relative validity of each cell's factor, promoting balanced and optimized allocation. The approach is particularly useful in systems where cells have varying degrees of suitability for redistribution, such as in wireless networks, data storage systems, or resource management frameworks. The method dynamically adjusts redistribution to maintain system efficiency and fairness.
11. The method of claim 10 , wherein the redistribution factors are a redistribution probability value per cell for load balancing.
A system and method for optimizing network resource allocation in wireless communication networks, particularly for load balancing across multiple cells. The technology addresses the challenge of uneven traffic distribution in cellular networks, which can lead to congestion in some areas while underutilizing resources in others. The method involves dynamically adjusting redistribution factors, specifically redistribution probability values assigned to individual cells, to balance the load more effectively. These probability values determine the likelihood of redistributing traffic from congested cells to less congested ones, ensuring efficient use of network resources. The redistribution process may involve handover procedures or traffic steering techniques to reallocate user equipment (UE) connections between cells. The system monitors network conditions, such as cell load, signal strength, and quality of service (QoS) metrics, to calculate and update these probability values in real time. By applying these factors, the method improves overall network performance, reduces congestion, and enhances user experience by maintaining balanced traffic distribution across the network. The approach is particularly useful in dense urban environments or high-traffic scenarios where load imbalances are common.
12. A user equipment (UE) for performing a redistribution procedure in a wireless communication system, the UE comprising: at least one memory; at least one transceiver; and at least one processor, operably coupled to connect the memory and the transceiver, wherein the at least one processor is configured to: control the at least one transceiver to receive redistribution factors from a network; determine at least one valid redistribution factor among the redistribution factors; obtain at least one redistribution range, by dividing the at least one valid redistribution factor by a sum of the at least one valid redistribution factor; and perform the redistribution procedure, based on the at least one redistribution range, wherein the at least one valid redistribution factor is a redistribution probability value of a frequency or a cell valid for the UE.
In wireless communication systems, efficient resource allocation is critical for maintaining network performance and user experience. A key challenge is dynamically redistributing resources, such as frequency bands or cells, to balance load and optimize connectivity. This invention addresses this by providing a user equipment (UE) that performs a redistribution procedure based on redistribution factors received from the network. The UE includes memory, a transceiver, and a processor that processes these factors to determine valid redistribution probabilities for frequencies or cells applicable to the UE. The processor calculates redistribution ranges by dividing each valid redistribution factor by the sum of all valid factors, effectively normalizing the probabilities. The UE then executes the redistribution procedure using these ranges, ensuring fair and efficient resource allocation. This method enables dynamic adjustments in response to network conditions, improving overall system efficiency and user experience. The invention is particularly useful in scenarios where load balancing or frequency/cell handover decisions are required to maintain optimal performance.
13. The UE of claim 12 , wherein the redistribution factors are received via a system information block (SIB).
In wireless communication systems, efficient resource allocation is critical for optimizing network performance and user experience. A key challenge is dynamically adjusting resource distribution among users to balance fairness, throughput, and quality of service. This invention addresses this problem by enabling a user equipment (UE) to receive redistribution factors via a system information block (SIB). These factors determine how resources, such as bandwidth or power, are allocated among multiple UEs in a cell. The UE uses these factors to adjust its resource usage, ensuring fair and efficient distribution. The redistribution factors may be broadcast to all UEs in the cell or targeted to specific groups, allowing the network to dynamically adapt to changing conditions. This approach improves overall network efficiency by reducing contention and optimizing resource utilization. The UE applies the received factors to its communication parameters, such as transmission power or scheduling priorities, to align with the network's allocation strategy. This method ensures that resources are distributed according to predefined policies, enhancing system performance and user satisfaction. The use of SIBs for delivering redistribution factors simplifies implementation and ensures timely updates across the network. This solution is particularly useful in dense networks where resource allocation must be carefully managed to prevent congestion and maintain service quality.
14. The UE of claim 12 , wherein the at least one processor is further configured to: control the at least one transceiver to receive a frequency list from the network.
15. The UE of claim 14 , wherein the frequency list is received via an SIB.
16. The UE of claim 12 , wherein the redistribution range is obtained based on the following equation: Redistribution range [ i ] = Valid redistribution factor [ i ] ∑ j = 0 j = Total number of frequencies with valid redistribution factor - 1 Valid redistribution factor [ j ] .
17. The UE of claim 16 , wherein the redistribution factors are a redistribution probability value per frequency for load balancing.
18. The UE of claim 17 , wherein the redistribution procedure is performed on frequencies valid for the UE.
19. The UE of claim 12 , wherein the redistribution range is obtained based on the following equation: Redistribution range [ i ] = Valid redistribution factor [ i ] ∑ j = 0 j = Total number of cells with valid redistribution factor - 1 Valid redistribution factor [ j ] .
20. The UE of claim 19 , wherein the redistribution factors are a redistribution probability value per cell for load balancing.
This invention relates to wireless communication systems, specifically to user equipment (UE) devices that redistribute traffic loads across multiple cells to improve network efficiency and performance. The problem addressed is uneven traffic distribution in cellular networks, which can lead to congestion in some cells while others remain underutilized, degrading overall network performance. The UE device includes a load balancing module that determines redistribution factors for traffic distribution across multiple cells. These redistribution factors are defined as redistribution probability values per cell, which dictate the likelihood of traffic being offloaded from one cell to another. The UE evaluates network conditions, such as signal strength, congestion levels, and quality of service (QoS) requirements, to dynamically adjust these probability values. By redistributing traffic based on these probabilities, the UE helps balance the load across cells, reducing congestion and improving resource utilization. The load balancing module may also consider user mobility patterns and service requirements to optimize traffic distribution. For example, if a cell is nearing capacity, the UE increases the redistribution probability for that cell, encouraging traffic to shift to less congested cells. Conversely, if a cell has excess capacity, the probability is reduced to allow more traffic to be served efficiently. This dynamic adjustment ensures that network resources are used optimally, enhancing overall system performance and user experience.
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February 9, 2021
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